For , the determinant isForany nonzero term in the Leibniz formula for determinants must match every row in the lower block to a column in the block. The remaining upper rows must then match the columns. The sum consequently factors into the determinant sums for the two diagonal blocks:
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Move the first columns ofpast its last columns. This requires column interchanges and produces the block-diagonal matrixEach interchange reverses the determinant's sign, so part (a) gives
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A unit-speed curve on a smooth embedded surface is a geodesic exactly when its acceleration is normal to the surface, equivalently when its tangential acceleration vanishes.
Every unit-speed geodesic on the cylinder through has the formIndeed, unrolling the cylinder to its universal cover turns these curves into straight lines. Directly,which is parallel to the cylinder's radial normal vector, verifying the geodesic characterization. Such a geodesic is closed exactly when ; its image is then the horizontal circle .
Yes. In polar coordinates on , use the Riemannian metricThe coordinate identifies this surface isometrically with the flat cylinder . Through each point, the circle is a closed geodesic, and every other geodesic has nonzero linear motion in and is not closed. Thus every point lies on a unique closed geodesic.
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The Taylor series of the complex sine isTherefore, for ,and the right side defines a holomorphic function at with value . Thus the apparent singularity is a removable singularity.
The resulting power series isThe ratio test shows convergence for every , so its radius of convergence is
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Forthe Euler-Lagrange equation isHere this becomesBecause the forcing is resonant with the complementary solution, a particular integral is . HenceandThe Neumann boundary conditions giveThus
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Let the columns of be . The Gram-Schmidt process givesNext,soFor the final column,andThus and . The reduced QR decomposition isThe columns of are orthonormal, and direct multiplication gives .
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The Rao-Blackwell theorem says that if is an estimator with finite second moment and is a sufficient statistic, thenhas the same expectation as and satisfieswith equality only when is already a function of almost surely.
Here is unbiased becauseConditional on , every weak composition of has the same probability . There aresuch compositions. For , those with correspond to weak compositions of into parts, of which there areThe Rao-Blackwell estimator is thereforeFor and , is not determined by ; for example, conditional on , the sole failure can occur in any coordinate. The variance inequality is consequently strict:
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Starting from , gradient descent repeatedly computes the gradient and updatesstopping when the gradient norm, step, or objective decrease is sufficiently small.
The Hessian bounds say that is -strongly convex and has -smooth gradient. With ,Thus the iteration count isconvergence becomes slower linearly with the condition number .
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The adjoint operator is defined bySince is a nonzero finite-dimensional complex vector space, has an eigenvector with eigenvalue . Normality givesfor every , by expanding both sides and using . Taking yields
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For the common eigenvector , its orthogonal complement is invariant under both and . Indeed, if , thenand the analogous calculation applies to . The restriction of to is therefore again normal. Induction on , beginning with the normalized vector , produces an orthonormal eigenbasis. This proves the finite-dimensional spectral theorem for normal operators.
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If for a nonzero real vector , then skew-symmetry givesThusso a real skew-symmetric matrix has no nonzero real eigenvalue.
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Over , the real skew-symmetric matrix is normal because . Part (a) gives an orthonormal complex eigenbasis, and the nonzero eigenvalues are purely imaginary pairs .
For each , choose a unit real vector in the kernel of and putThen , , andThus has matrixon the orthonormal basis . Distinct such invariant planes are orthogonal; complete them by an orthonormal basis of . Taking these basis vectors as the columns of an orthogonal matrix gives
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A Euclidean domain is an integral domain equipped with a function such that for , , there are withFor the Gaussian integers , take . Choosing a Gaussian integer nearest to makes the remainder norm smaller than .
The units are precisely the elements of norm one:Unique factorization in this Euclidean domain givesThe displayed factors have prime norms or , so they are irreducible; factors appearing together are nonassociate.
Now suppose . Necessarily . First let be odd. Then is odd, and and are coprime in : a common Gaussian prime would divide , while their product has odd norm. Henceup to a unit, which can be absorbed into the cube. Comparing imaginary parts givesChecking yields only , , and therefore
If is even, congruence modulo gives with odd and , whereEach of contains exactly one factor , so the coprime quotients are cubes up to units. ThusComparing the imaginary part after the four possible units reduces toEach integer factor must have absolute value one. Substitution then gives , so and . HenceAll four pairs satisfy the equation, so the complete answer is
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This is always true. Given , choose such thaton for and on for . For the same inequality holds at every point of . Hence uniformly on .
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This may be false when the limiting functions are unbounded. On , letBoth sequences converge uniformly to their stated limits, butis unbounded for every . Thus the products do not converge uniformly.
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This is always true. Uniform convergence makes a uniformly Cauchy sequence: for every , there is such thatfor every and . Letting through points of and using the assumed limits givesThus is a Cauchy sequence. Since is a complete metric space, converges in .
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This is always true. Since is bounded and uniformly, there are and such thatfor every and . The continuous function is uniformly continuous on the compact interval . Therefore, given , a sufficiently small uniform bound on impliesHence uniformly.
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Every orientation-preserving isometry of the Poincare half-plane model has the formwith matrices identified up to multiplication by . Thus .
For , the affine map sends to , proving transitivity on points. Real translations and positive dilations act transitively on finite boundary points, while inversion exchanges and ; hence the action on is transitive. A hyperbolic line is determined by its unordered pair of boundary endpoints, and a real Möbius transformation can send any such pair to . Therefore is also transitive on hyperbolic lines.
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By point transitivity, it suffices to take . The conditionis equivalent to , , and the determinant condition becomes . Thus the stabilizer consists ofmodulo . Writing , identifies it with rotations of the tangent plane, and the doubled matrix angle removes the quotient. Hence
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An isometry sends the geodesic through to the imaginary axis and sends the two points to and for some . The transformationbelongs to and exchanges with . Conjugating it back gives an orientation-preserving isometry exchanging and .
For uniqueness, the quotient of two such isometries fixes both and . An orientation-preserving hyperbolic isometry fixing two distinct interior points fixes their connecting geodesic and both tangent directions there, hence is the identity. Therefore the exchanging isometry is unique; geometrically it is the hyperbolic half-turn about the midpoint of the segment .
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Use an orientation-preserving isometry to send to and to the imaginary axis, whose boundary points are . A geodesic through meeting it at angle has boundary pointsIndeed , so the semicircle with endpoints passes through , and its tangent there makes angle with the vertical.
The cross-ratio is invariant under the normalizing Möbius transformation. With the suitable ordering and the convention used here,
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The hypothesis makes star-shaped with centre . For small with the triangle having vertices contained in , the vanishing triangular integral givesParametrizing the final segment,by continuity. Thus is holomorphic andThis is the triangle-integral construction behind Morera's theorem.
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The set is star-shaped with centre : if , every point of has its segment to contained in the same segment and therefore avoids the origin. Applying part (a) and the stated triangular-integral fact to gives a holomorphic functionChoose either square root of and defineThen is holomorphic. Moreover,and its value at is one. Hence
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Because , continuity gives a disc about zero on which . The function has a holomorphic primitive on a sufficiently small disc, normalized by . Thenis holomorphic and satisfies and on .
No such square root exists throughout . The point lies in that disc and is a simple zero of , since . Every zero of the square of a holomorphic function has even order of a zero of a holomorphic function, contradicting this simple zero.
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Take positive vertically downward. For a short string element, the transverse tension resultant is , while gravity and linear drag contribute and . Newton's second law givesSince , the damped wave equation isChoosing upward displacement reverses the sign of the gravity term.
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With gravity omitted, the initial data contain only the first fixed-end normal mode, so writeThenBecause , this oscillator is critically damped, andTherefore
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The first mode remains the solution from part (b). The applied force excites only the third mode, sowhere, using ,A particular solution isAdding the decaying complementary solution and imposing the initial conditions gives
As , all transients decay but the driven third-mode oscillation remains. The string approaches a periodic steady-state response, rather than coming to rest.
With gravity omitted, its mechanical energy isWriting and letting givesThe limiting energy is periodic because the external force continually supplies the energy dissipated by drag.
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For the one-dimensional quantum harmonic oscillator,This is the Time-dependent Schrodinger equation with harmonic potential.
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Fordirect differentiation givesandSubstitution into the Schrodinger equation and equality of the coefficients of give the necessary and sufficient Riccati equation system
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Put . ThenThe equation from part (b) is satisfied whensoWith this value, the equation follows from : both its constant and coefficients agree. Thus the stated satisfy both shape equations; the remaining scalar equation determines the normalization factor .
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Writing andthe supplied identities giveUsing in part (d),The peak executes simple harmonic motion about the origin with angular frequency and amplitude .
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At each fixed time, is a bell-shaped Gaussian centred at , with width determined by . Completing the square as in part (d) makes the density symmetric about . Therefore its position expectation value isThe sketch is a Gaussian peak whose centre oscillates between the two turning positions found in part (e), while its width varies periodically through .
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For a coaxial Gaussian cylinder of radius and length , symmetry makes the electric field radial and constant on the curved surface. Gauss's law givessoSince , a potential relative to an arbitrary reference radius isAn infinite line charge has no finite convention .
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Take the wire at to carry and that at to carry . Ifthen, up to one additive constant,Thus an equipotential with satisfies . For , completing the square gives the Apollonius circleIts centre is and its radius is . Positive and negative values give nested circles around the positive and negative wires. The electric field is orthogonal to these circles and points from the positive wire toward the negative wire. For , the limiting equipotential is the straight line .
Direct superposition givesIn the limit with , the potential and field become those of a two-dimensional electric dipole:and
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For the steady, fully developed ansatz , both and vanish. The axial Navier-Stokes equation reduces toTwo integrations giveRegularity at the axis forces , and the no-slip boundary condition gives the Hagen-Poiseuille flowFor flow in the positive direction, .
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The net axial pressure force on a length- fluid cylinder isFrom part (a),Multiplying this wall shear stress by the lateral area givesConsequentlywhich is the required steady force balance.
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If the bound is to hold for all , the error functional must annihilate every polynomial of degree at most two, because such a polynomial has . Applying it to givesThereforeso is the central finite difference approximation.
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The Peano kernel theorem says that if a continuous linear functional annihilates polynomials of degree below , thenHere andApplying to givesHenceThe smallest candidate is therefore
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The constant is sharp because continuous functions bounded by one can approximate arbitrarily closely outside an arbitrarily small interval around zero. Choose to be such an approximation and integrate three times to obtain . ThenNo smaller constant can therefore satisfy the inequality for every .
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LetThus patients recover during month , while survive that month without recovery. The likelihood function is
The independent prior densities are proportional to . Beta-binomial conjugacy therefore leaves the coordinates posteriorly independent, with
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The probability of no recovery through month is the product of the conditional survival probabilities, soUnder quadratic loss, the Bayes estimator is the posterior mean. Posterior independence and the mean of a Beta distribution giveConsequently
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The posterior expected loss at decision isAt continuity points its derivative isThus the risk is minimized at a posterior one-third quantile:More generally, any satisfyingis optimal. The quantile lies below the posterior median, reflecting the smaller penalty assigned to underestimation.
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Let be the midpoints of . WriteFirst-step analysis for the simple random walk givesbecause has neighbours ;because has neighbours ; andbecause has neighbours . Solving,
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View each of the three level-one triangles in as a copy of . Observe the walk only when it moves from one corner of such a copy to a different corner. By symmetry, the next of the two other corners is equally likely, so this embedded chain is the simple random walk on the coarse graph . Part (a) says it makes an expected five coarse transitions before reaching or .
Within each level-one copy, the mean time for one coarse transition is again five by part (a). The Strong Markov property at successive coarse-corner hitting times therefore gives
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Letfor the walk on . Decompose into its three outer copies of and trace the walk only when it passes between distinct corner vertices of these copies. The self-similarity and reflection symmetry of the Sierpinski graph make this trace the simple random walk on . It requires an expected five transitions to hit the two target outer corners.
Each coarse transition is an excursion across a copy of and has mean duration . Applying the strong Markov property at the coarse stopping times givesSince , induction yields
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